By Topic

Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Peng Li ; Chinese Academy of Sciences, China ; Yong Guan ; Bo Xu ; Wenju Liu

Monaural speech separation is a very challenging problem in speech signal processing. It has been studied previously, and many separation systems based on computational auditory scene analysis (CASA) have been proposed. Although the research on CASA has tended to introduce high level knowledge into separation process from primitive data-driven method, the knowledge of speech quality still has not been combined in it. In order to solve this problem, we proposed a new method which combined CASA with objective quality assessment of speech (OQAS). Through this combination, the performance of the speech separation can be improved not only in SNR, but also in mean opinion score (MOS)

Published in:

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)  (Volume:2 )

Date of Conference:

Aug. 30 2006-Sept. 1 2006